BACKGROUND: Children with chronic conditions often experience numerous symptoms, but few research studies examine patterns of symptoms and quality of life (QoL) indicators.

OBJECTIVE: To examine if reliable latent classes of children with chronic medical conditions can be identified based on the clustering of symptoms and QoL indicators.

METHODS: Structured interviews were conducted with children ages 9-21 living with chronic medical conditions (N = 90). Multiple symptoms (e.g., pain, sleep, fatigue, and depression) and QoL indicators (e.g., life satisfaction and social support) were measured. Physical health and emotional, social, and school functioning were measured using the Pediatric Quality of Life Inventory (PedsQL). Latent class analysis was used to classify each child into a latent class whose members report similar patterns of responses.

CONCLUSIONS: The three latent classes identified in this study were distributed along the severity continuum. All symptoms and QoL indicators appeared to move in the same direction (e.g., worse symptoms with lower QoL). The PedsQL psychosocial health summary score (combining emotional, social, and school functioning scores) discriminated well between children with different levels of disease burden.